---
annotations_creators:
- machine-generated
language:
- en
language_creators:
- machine-generated
- expert-generated
license:
- mit
multilinguality:
- monolingual
pretty_name: MultiPLE-E
size_categories:
- 1K<n<10K
source_datasets:
- original
- extended|openai_humaneval
tags: []
task_categories: []
task_ids: []
---

# Dataset Card for MultiPL-E

## Dataset Description

- **Homepage:**  https://nuprl.github.io/MultiPL-E/
- **Repository:**  https://github.com/nuprl/MultiPL-E
- **Paper:** https://arxiv.org/abs/2208.08227
- **Point of Contact:** carolyn.anderson@wellesley.edu, mfeldman@oberlin.edu, a.guha@northeastern.edu

## Dataset Summary

MultiPL-E is a dataset for evaluating large language models for code
generation that supports 18 programming languages. It takes the OpenAI 
"HumanEval" Python benchmarks and uses little compilers to translate them 
to other languages. It is easy to add support for new languages and benchmarks.

[More Information Needed]